Triple
T1636109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eclipse |
E35362
|
entity |
| Predicate | supportsBuildTool |
P19952
|
FINISHED |
| Object | Ant |
E72062
|
NE 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: Ant | Statement: [Eclipse, supportsBuildTool, Ant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ant Context triple: [Eclipse, supportsBuildTool, Ant]
-
A.
Ant
chosen
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
B.
Ath
Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
-
C.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
D.
Anto
Anto is a diminutive given name, commonly used as a short form of names like Anton or Antonio in various European and Slavic cultures.
-
E.
Andy
Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61e142ac8190aa2fbd8f0826b5b2 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58dbd0608190be207ab2bcdc9eef |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.