Triple
T3492525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRC |
E73768
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Lewis Field
Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
|
E363760
|
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: Lewis Field | Statement: [GRC, hasFacility, Lewis Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Field Context triple: [GRC, hasFacility, Lewis Field]
-
A.
Mills Field
Mills Field was the original name of the airport that later became San Francisco International Airport, serving as the main airfield for the San Francisco Bay Area in its early years.
-
B.
Reeves Field
Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
-
C.
Eaker Field
Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
-
D.
Holloway Field
Holloway Field is a collegiate athletic facility associated with Rice University, primarily used for hosting the university’s outdoor sports events and competitions.
-
E.
Merton Field
Merton Field is a historic open green space associated with Merton College in Oxford, often used for recreation and college events.
- 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: Lewis Field Triple: [GRC, hasFacility, Lewis Field]
Generated description
Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lewis Field Target entity description: Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
-
A.
Mills Field
Mills Field was the original name of the airport that later became San Francisco International Airport, serving as the main airfield for the San Francisco Bay Area in its early years.
-
B.
Reeves Field
Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
-
C.
Eaker Field
Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
-
D.
Holloway Field
Holloway Field is a collegiate athletic facility associated with Rice University, primarily used for hosting the university’s outdoor sports events and competitions.
-
E.
Merton Field
Merton Field is a historic open green space associated with Merton College in Oxford, often used for recreation and college events.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbabd1708190b1ca4cbc87462b5b |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373c23b188190a927d793b03192dc |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b377a690348190a765b021bbbc820c |
completed | March 13, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3781aaab48190a497a0929966ec12 |
completed | March 13, 2026, 2:36 a.m. |
Created at: March 8, 2026, 3:18 p.m.