Triple
T23844772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agni-V |
E591088
|
entity |
| Predicate | firstTestFlightLocation |
P14378
|
FINISHED |
| Object |
Wheeler Island
Wheeler Island is an Indian missile testing range off the coast of Odisha, widely known as a primary launch site for the country's long-range ballistic missile programs.
|
E1604340
|
NE FINISHED |
How this triple was built (3 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: Wheeler Island | Statement: [Agni-V, firstTestFlightLocation, Wheeler Island]
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: Wheeler Island Triple: [Agni-V, firstTestFlightLocation, Wheeler Island]
Generated description
Wheeler Island is an Indian missile testing range off the coast of Odisha, widely known as a primary launch site for the country's long-range ballistic missile programs.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTestFlightLocation Context triple: [Agni-V, firstTestFlightLocation, Wheeler Island]
-
A.
testPilotOnFirstFlight
Indicates that the person served as the test pilot during the inaugural flight of an aircraft or aerospace vehicle.
-
B.
firstFlightLaunchSite
chosen
Indicates the location where an entity’s first flight was launched.
-
C.
firstFreeFlightTest
Indicates that the event is the initial instance in which an aircraft, spacecraft, or similar vehicle is flown freely without external constraints or tethering.
-
D.
firstStageLandingLocation
Indicates the location where the first stage of a multi-stage launch vehicle lands or is intended to land.
-
E.
testFlightLocation
Indicates the location where a test flight takes place or is conducted.
- F. None of above.
Provenance (6 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f69aa0abc819085ff6abee28833de |
completed | May 21, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_6a0f6d40d1108190b4da250e40014008 |
completed | May 21, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f6e3adc0c819094df2d24bf20fcd6 |
completed | May 21, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.