Triple
T12062003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland, Texas |
E287194
|
entity |
| Predicate | airportDesignation |
P103006
|
FINISHED |
| Object | spaceport license holder |
—
|
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: spaceport license holder | Statement: [Midland, Texas, airportDesignation, spaceport license holder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportDesignation Context triple: [Midland, Texas, airportDesignation, spaceport license holder]
-
A.
airportOfficialName
Indicates the officially designated full name of an airport as recognized by authorities or governing bodies.
-
B.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
C.
airportRole
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
D.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
E.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.