Triple
T4437507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subaru Telescope |
E95686
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
|
E440264
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HDS | Statement: [Subaru Telescope, hasInstrument, HDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDS Context triple: [Subaru Telescope, hasInstrument, HDS]
-
A.
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
B.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
C.
HYS
HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
-
D.
HSM
A Hardware Security Module (HSM) is a dedicated, tamper-resistant device used to securely generate, store, and manage cryptographic keys and perform sensitive cryptographic operations.
-
E.
HON
HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HDS Triple: [Subaru Telescope, hasInstrument, HDS]
Generated description
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HDS Target entity description: HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
A.
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
B.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
C.
HYS
HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
-
D.
HSM
A Hardware Security Module (HSM) is a dedicated, tamper-resistant device used to securely generate, store, and manage cryptographic keys and perform sensitive cryptographic operations.
-
E.
HON
HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558b1d4481909060ede5e0ded4bc |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137960908190814cbdf0b4e56542 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61439a86c8190849c5af718ddc647 |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614d6106c81908a601f540622f934 |
completed | March 15, 2026, 2:09 a.m. |
Created at: March 12, 2026, 11:31 p.m.