Triple
T3654060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMT |
E77487
|
entity |
| Predicate | associatedWithNATOMarkets |
P50718
|
FINISHED |
| Object | NATO defense contractor |
—
|
LITERAL FINISHED |
How this triple was built (2 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: NATO defense contractor | Statement: [LMT, associatedWithNATOMarkets, NATO defense contractor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNATOMarkets Context triple: [LMT, associatedWithNATOMarkets, NATO defense contractor]
-
A.
associatedWithTicker
Indicates that an entity is linked or connected to a specific stock market ticker symbol.
-
B.
associatedWithExchange
Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
-
C.
hasMarketMakers
Indicates that an entity is associated with one or more market makers who provide liquidity or facilitate trading for it.
-
D.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
E.
relatedMarket
Indicates that two markets are connected or associated, such that activity, conditions, or changes in one market are relevant to or influence the other.
- F. None of above. chosen
Provenance (4 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adbae14d488190a6024548979c6faf |
completed | March 8, 2026, 6:07 p.m. |
Created at: March 8, 2026, 3:24 p.m.