Triple
T20655014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire Route 3 |
E507599
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
NH 3
NH 3 is a state highway in New Hampshire that serves as a major north–south transportation route through the state.
|
E1443317
|
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: NH 3 | Statement: [New Hampshire Route 3, hasAbbreviation, NH 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH 3 Context triple: [New Hampshire Route 3, hasAbbreviation, NH 3]
-
A.
NH 2
NH 2 was a major Indian national highway that historically connected Delhi with Kolkata before being renumbered as part of National Highway 44.
-
B.
NH3 (formerly NH21)
NH3 (formerly NH21) is a key National Highway in India that connects Chandigarh to the popular hill station of Manali in Himachal Pradesh.
-
C.
NH 5
NH 5 is a major Indian national highway that forms part of the country’s primary road network, connecting key cities and regions.
-
D.
NH31
NH31 is a National Highway in India that serves as an important route connecting various cities and regions in the eastern part of the country.
-
E.
NH30
NH30 is a National Highway in India that serves as an important roadway connecting multiple cities and regions within the country’s highway network.
- 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: NH 3 Triple: [New Hampshire Route 3, hasAbbreviation, NH 3]
Generated description
NH 3 is a state highway in New Hampshire that serves as a major north–south transportation route through the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NH 3 Target entity description: NH 3 is a state highway in New Hampshire that serves as a major north–south transportation route through the state.
-
A.
NH 2
NH 2 was a major Indian national highway that historically connected Delhi with Kolkata before being renumbered as part of National Highway 44.
-
B.
NH3 (formerly NH21)
NH3 (formerly NH21) is a key National Highway in India that connects Chandigarh to the popular hill station of Manali in Himachal Pradesh.
-
C.
NH 5
NH 5 is a major Indian national highway that forms part of the country’s primary road network, connecting key cities and regions.
-
D.
NH31
NH31 is a National Highway in India that serves as an important route connecting various cities and regions in the eastern part of the country.
-
E.
NH30
NH30 is a National Highway in India that serves as an important roadway connecting multiple cities and regions within the country’s highway network.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ec90e881909250884483429acf |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c5978a3881908ec69d554791a6ce |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6b3abf881909c9cb0e6ec85b84f |
completed | May 16, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c778429081909235b628ba07d574 |
completed | May 16, 2026, 7:37 p.m. |
Created at: April 16, 2026, 11:43 a.m.