Triple
T168480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth Resources Laboratory |
E3067
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
|
E20986
|
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: ERL | Statement: [Earth Resources Laboratory, abbreviation, ERL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERL Context triple: [Earth Resources Laboratory, abbreviation, ERL]
-
A.
El
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
-
B.
RALE
RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
-
C.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
D.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
E.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
- 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: ERL Triple: [Earth Resources Laboratory, abbreviation, ERL]
Generated description
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERL Target entity description: ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
A.
El
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
-
B.
RALE
RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
-
C.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
-
D.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
E.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e0f8bf748190b2752f250a63d8e3 |
completed | Feb. 28, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69a2e16a3c088190a7ed30c60da89e6e |
completed | Feb. 28, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2e2a9c8608190a65a4a3b80cd6970 |
completed | Feb. 28, 2026, 12:42 p.m. |
Created at: Feb. 28, 2026, 2:34 a.m.