Triple
T3648702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Hydaspes |
E77363
|
entity |
| Predicate | combatantCulture1 |
P50019
|
FINISHED |
| Object | Macedonian-Greek |
—
|
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: Macedonian-Greek | Statement: [Battle of the Hydaspes, combatantCulture1, Macedonian-Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantCulture1 Context triple: [Battle of the Hydaspes, combatantCulture1, Macedonian-Greek]
-
A.
combatantLanguage
Indicates the language used by a combatant in a conflict or competitive interaction.
-
B.
countryDuringBattle
Indicates that a specified country was involved in or existed as a relevant participant or context during a particular battle.
-
C.
countryOfCult
Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
-
D.
warfareType
Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
-
E.
combatantStrength
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.