Triple
T431024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Base Lewis–McChord |
E9711
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
KTCM
KTCM is the ICAO airport code for McChord Field, the U.S. Air Force installation that forms part of Joint Base Lewis–McChord in Washington State.
|
E54381
|
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: KTCM | Statement: [Joint Base Lewis–McChord, ICAOCode, KTCM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTCM Context triple: [Joint Base Lewis–McChord, ICAOCode, KTCM]
-
A.
YouTube TV
YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
-
B.
Crunchyroll
Crunchyroll is a popular streaming service specializing in anime, manga, and East Asian media content.
-
C.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
-
D.
Opera News
Opera News is a personalized news and content aggregation app focused on delivering trending stories, videos, and local updates, particularly popular in emerging markets.
-
E.
Hulu
Hulu is a U.S.-based subscription streaming service offering on-demand access to a wide range of television shows, films, and original content.
- 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: KTCM Triple: [Joint Base Lewis–McChord, ICAOCode, KTCM]
Generated description
KTCM is the ICAO airport code for McChord Field, the U.S. Air Force installation that forms part of Joint Base Lewis–McChord in Washington State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KTCM Target entity description: KTCM is the ICAO airport code for McChord Field, the U.S. Air Force installation that forms part of Joint Base Lewis–McChord in Washington State.
-
A.
YouTube TV
YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
-
B.
Crunchyroll
Crunchyroll is a popular streaming service specializing in anime, manga, and East Asian media content.
-
C.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
-
D.
Opera News
Opera News is a personalized news and content aggregation app focused on delivering trending stories, videos, and local updates, particularly popular in emerging markets.
-
E.
Hulu
Hulu is a U.S.-based subscription streaming service offering on-demand access to a wide range of television shows, films, and original content.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeef065c81908ed30528a61da132 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f6938a08190a6c1433242832dea |
completed | March 1, 2026, 12:22 p.m. |
| NEDg | Description generation | batch_69a43038d2348190a348e6661d27dde4 |
completed | March 1, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a430f6c6f88190b5aecfe3c4c8957d |
completed | March 1, 2026, 12:28 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.